A survey on object detection in optical remote sensing images
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
The race to improve radar imagery: An overview of recent progress in statistical sparsity-based techniques
The exploitation of sparsity has significantly advanced the field of radar imaging over the last
few decades, leading to substantial improvements in the resolution and quality of the …
few decades, leading to substantial improvements in the resolution and quality of the …
Fast inverse-scattering reconstruction for airborne high-squint radar imagery based on Doppler centroid compensation
Y Zhang, J Luo, J Li, D Mao, Y Zhang… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Cross-resolution enhancement for airborne high-squint radar (AHSR) imagery is
mathematically equivalent to the ill-conditioned problem of inverse-scattering reconstruction …
mathematically equivalent to the ill-conditioned problem of inverse-scattering reconstruction …
Scene classification of high resolution remote sensing images using convolutional neural networks
Scene classification of high resolution remote sensing images plays an important role for a
wide range of applications. While significant efforts have been made in developing various …
wide range of applications. While significant efforts have been made in developing various …
SAR ground moving target imaging algorithm based on parametric and dynamic sparse Bayesian learning
In this paper, a novel synthetic aperture radar (SAR) ground moving target imaging (GMTIm)
algorithm is presented within a parametric and dynamic sparse Bayesian learning (SBL) …
algorithm is presented within a parametric and dynamic sparse Bayesian learning (SBL) …
Maritime semantic labeling of optical remote sensing images with multi-scale fully convolutional network
In current remote sensing literature, the problems of sea-land segmentation and ship
detection (including in-dock ships) are investigated separately despite the high correlation …
detection (including in-dock ships) are investigated separately despite the high correlation …
Cooperative multitask learning for sparsity-driven SAR imagery and nonsystematic error autocalibration
Conventional sparsity-driven synthetic aperture radar (SAR) imagery often encounters the
sensitivity of nonsystematic errors and highly computational load. In this article, a …
sensitivity of nonsystematic errors and highly computational load. In this article, a …
Ground moving target imaging based on compressive sensing framework with single-channel SAR
MS Kang, KT Kim - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Ground moving target imaging (GMTIm) is considered one of the most important applications
of synthetic aperture radar (SAR). Phase modulation from a moving target's higher-order …
of synthetic aperture radar (SAR). Phase modulation from a moving target's higher-order …
DeepImaging: A ground moving target imaging based on CNN for SAR-GMTI system
H Mu, Y Zhang, C Ding, Y Jiang… - IEEE Geoscience and …, 2020 - ieeexplore.ieee.org
Imaging of ground multiple moving targets in a synthetic aperture radar (SAR) system is a
challenging task due to the fact that targets are defocused owing to motions and …
challenging task due to the fact that targets are defocused owing to motions and …
[HTML][HTML] 基于分层贝叶斯Lasso 的稀疏ISAR 成像算法
杨磊， 夏亚波， 毛欣瑶， 廖仙华， 方澄， 高洁 - 电子与信息学报, 2021 - jeit.ac.cn
逆合成孔径雷达(ISAR) 目标回波具有明显的稀疏特征, 传统的凸优化稀疏ISAR
成像算法涉及繁琐的正则项系数调整, 严重限制了超分辨成像的精度及便捷程度. 针对此问题 …
成像算法涉及繁琐的正则项系数调整, 严重限制了超分辨成像的精度及便捷程度. 针对此问题 …